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castorini/wura

Dataset Summary WURA is a document-level dataset covering 16 African Languages and 4 high-resource languages widely spoken in Africa (English, French, Arabic and Portuguese). This dataset was created by auditing mC4 and crawling additional verified news sources. It was first used to train AfriTeVa V2. Dataset Structure >>> from datasets import load_dataset Although the document-level dataset is loaded by default, you may also optionally load a passage-level… See the full description on the dataset page: https://huggingface.co/datasets/castorini/wura.

Author / organizationcastorini
License (as declared)apache-2.0
Downloads537 (as reported by Hugging Face)
Likes15
Created27 November 2023
Last updated at source11 December 2023
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  • 16 Oct 2026 Description: Dataset Summary WURA is a document-level dataset covering 16 African Languages and 4 high-resource languages widely spoken in Africa (English, French, Arabic and Portuguese). This dataset was created by auditing mC4 and crawling additional → Dataset Summary WURA is a document-level dataset covering 16 African Languages and 4 high-resource languages widely spoken in Africa (English, French, Arabic and Portuguese). This dataset was created by auditing mC4 and crawling additional

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